Add Gemma2 9B on Cloud Run example #113
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Rename required since most of the use-cases / examples are around the `tgi-deployment` so the naming can be vague, and instead we're following the same formatting for the naming as in `examples/vertex-ai/notebooks`
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alvarobartt
commented
Oct 16, 2024
Automatically updated via `python scripts/internal/update_example_tables.py`
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@alvarobartt can you make sure this publishes this week? I added the link https://huggingface.co/docs/google-cloud/examples/cloud-run-deploy-gemma-2-on-cloud-run to the video description |
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Description
This PR adds an example on serving Gemma2 9B with TGI DLC on Cloud Run, to be used for a video recording demo on Cloud Run. The idea of this example is similar if not the same as in the Llama 3.1 8B example already created i.e. serving an AWQ quantized model to optimize the cold start while still maintaining the accuracy of the original model.
The Gemma2 9B AWQ quantized model is available in
hugging-quants/gemma-2-9b-it-AWQ-INT4, under thehugging-quantsorganization which is managed by Hugging Face.Additionally, this PR also updates the naming convention for the Cloud Run examples, since the
tgi-deploymentnaming is vague, and since from now we may ship more examples, using a format as the following may make the most senseexamples/cloud-run/deploy-<MODEL_ID>-on-cloud-run(or we could just remove the ending-on-cloud-runbut that was for the sake of alignment with theexamples/vertex-ai/notebooks/....